![]() ![]() The -DNDEBUG=1 compiler option roughly doubles the speed of SQLite.Īll tests are conducted on an otherwise quiescent machine. It was compiled with -O6 optimization and with the -DNDEBUG=1 switch which disables the many "assert()" statements in the SQLite code. SQLite was tested in the same configuration that it appears on the website. His results show that PostgreSQL and MySQL run at about the same speed. Matt Sergeant reports that he has tuned his PostgreSQL installation and rerun the tests shown below. I am told that the default PostgreSQL configuration in RedHat 7.3 is unnecessarily conservative (it is designed to work on a machine with 8MB of RAM) and that PostgreSQL could be made to run a lot faster with some knowledgeable configuration tuning. Not having to support transactions gives MySQL a big speed advantage, but SQLite is still able to hold its own on most tests. ![]() Note in particular the default MySQL configuration on RedHat 7.2 does not support transactions. (PostgreSQL version 7.1.3 and MySQL version 3.23.41.) No effort was made to tune these engines. The PostgreSQL and MySQL servers used were as delivered by default on RedHat 7.2. The operating system is RedHat Linux 7.2 with a stock kernel. The platform used for these tests is a 1.6GHz Athlon with 1GB or memory and an IDE disk drive. They do not measure how well the database engines scale to larger problems. ![]() These tests are on a relatively small (approximately 14 megabyte) database. These tests did not attempt to measure multi-user performance or optimization of complex queries involving multiple joins and subqueries. The results presented here come with the following caveats: SQLite works best if you group multiple operations together into a single transaction. But this is not seen as a problem because those are infrequent operations. SQLite does not execute CREATE INDEX or DROP TABLE as fast as the other databases. ![]() SQLite 2.7.6 is often faster (sometimes more than twice as fast) than MySQL 3.23.41 for most common operations. SQLite 2.7.6 is significantly faster (sometimes as much as 10 or 20 times faster) than the default PostgreSQL 7.1.3 installation on RedHat 7.2 for most common operations. The following are general conclusions drawn from these experiments: Executive SummaryĪ series of tests were run to measure the relative performance of SQLite 2.7.6, PostgreSQL 7.1.3, and MySQL 3.23.41. This page has been retained only as an historical artifact. The numbers here have become meaningless. It describes a speed comparison between archaic versions of SQLite, MySQL and PostgreSQL. To ensure the best performance, developers should ensure the database is indexed properly, avoid running complex queries, and limit the use of transactions when possible.ĭatabase Speed Comparison Note: This document is very very old. Overall, SQLite is generally a very fast database system, but there are certain scenarios where it can be slower than other databases. As SQLite is an ACID-compliant database, it allows for the use of transactions, but this can lead to slower performance when dealing with large amounts of data. Without proper indexing, queries can take longer to process, particularly when dealing with large datasets.įinally, the use of transactions can also lead to slower performance. This can lead to slower query performance, especially when dealing with large datasets.Īnother issue that can lead to slower performance is when the database is not indexed properly. As the SQLite engine is designed to be lightweight, it does not have the same kind of optimization and query optimization capabilities as other databases. One of the main areas where SQLite can be slower is when complex queries are run. However, as with any database system, there are certain scenarios where SQLite can be slower than other databases. SQLite is known for its excellent speed and performance, and this is primarily due to its lightweight design. ![]()
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